{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Riskfolio-Lib Tutorial:\n",
    "<br>__[Financionerioncios](https://financioneroncios.wordpress.com)__\n",
    "<br>__[Orenji](https://www.orenj-i.net)__\n",
    "<br>__[Riskfolio-Lib](https://riskfolio-lib.readthedocs.io/en/latest/)__\n",
    "<br>__[Dany Cajas](https://www.linkedin.com/in/dany-cajas/)__\n",
    "<a href='https://ko-fi.com/B0B833SXD' target='_blank'><img height='36' style='border:0px;height:36px;' src='https://cdn.ko-fi.com/cdn/kofi1.png?v=2' border='0' alt='Buy Me a Coffee at ko-fi.com' /></a> \n",
    "\n",
    "## Tutorial 8: Short and Leveraged Portfolios\n",
    "\n",
    "## 1. Downloading the data:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[*********************100%***********************]  25 of 25 completed\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import yfinance as yf\n",
    "import warnings\n",
    "\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "\n",
    "yf.pdr_override()\n",
    "pd.options.display.float_format = '{:.4%}'.format\n",
    "\n",
    "# Date range\n",
    "start = '2016-01-01'\n",
    "end = '2019-12-30'\n",
    "\n",
    "# Tickers of assets\n",
    "assets = ['JCI', 'TGT', 'CMCSA', 'CPB', 'MO', 'APA', 'MMC', 'JPM',\n",
    "          'ZION', 'PSA', 'BAX', 'BMY', 'LUV', 'PCAR', 'TXT', 'TMO',\n",
    "          'DE', 'MSFT', 'HPQ', 'SEE', 'VZ', 'CNP', 'NI', 'T', 'BA']\n",
    "assets.sort()\n",
    "\n",
    "# Downloading data\n",
    "data = yf.download(assets, start = start, end = end)\n",
    "data = data.loc[:,('Adj Close', slice(None))]\n",
    "data.columns = assets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>APA</th>\n",
       "      <th>BA</th>\n",
       "      <th>BAX</th>\n",
       "      <th>BMY</th>\n",
       "      <th>CMCSA</th>\n",
       "      <th>CNP</th>\n",
       "      <th>CPB</th>\n",
       "      <th>DE</th>\n",
       "      <th>HPQ</th>\n",
       "      <th>JCI</th>\n",
       "      <th>...</th>\n",
       "      <th>NI</th>\n",
       "      <th>PCAR</th>\n",
       "      <th>PSA</th>\n",
       "      <th>SEE</th>\n",
       "      <th>T</th>\n",
       "      <th>TGT</th>\n",
       "      <th>TMO</th>\n",
       "      <th>TXT</th>\n",
       "      <th>VZ</th>\n",
       "      <th>ZION</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2016-01-05</th>\n",
       "      <td>-2.0257%</td>\n",
       "      <td>0.4057%</td>\n",
       "      <td>0.4035%</td>\n",
       "      <td>1.9693%</td>\n",
       "      <td>0.0180%</td>\n",
       "      <td>0.9305%</td>\n",
       "      <td>0.3678%</td>\n",
       "      <td>0.5783%</td>\n",
       "      <td>0.9483%</td>\n",
       "      <td>-1.1954%</td>\n",
       "      <td>...</td>\n",
       "      <td>1.5881%</td>\n",
       "      <td>0.0212%</td>\n",
       "      <td>2.8236%</td>\n",
       "      <td>0.9758%</td>\n",
       "      <td>0.6987%</td>\n",
       "      <td>1.7539%</td>\n",
       "      <td>-0.1730%</td>\n",
       "      <td>0.2410%</td>\n",
       "      <td>1.3734%</td>\n",
       "      <td>-1.0857%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-06</th>\n",
       "      <td>-11.4863%</td>\n",
       "      <td>-1.5879%</td>\n",
       "      <td>0.2412%</td>\n",
       "      <td>-1.7557%</td>\n",
       "      <td>-0.7727%</td>\n",
       "      <td>-1.2473%</td>\n",
       "      <td>-0.1736%</td>\n",
       "      <td>-1.1239%</td>\n",
       "      <td>-3.5867%</td>\n",
       "      <td>-0.9551%</td>\n",
       "      <td>...</td>\n",
       "      <td>0.5547%</td>\n",
       "      <td>0.0212%</td>\n",
       "      <td>0.1592%</td>\n",
       "      <td>-1.5646%</td>\n",
       "      <td>-0.1466%</td>\n",
       "      <td>-1.0155%</td>\n",
       "      <td>-0.7653%</td>\n",
       "      <td>-3.0048%</td>\n",
       "      <td>-0.9034%</td>\n",
       "      <td>-2.9145%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-07</th>\n",
       "      <td>-5.1389%</td>\n",
       "      <td>-4.1922%</td>\n",
       "      <td>-1.6573%</td>\n",
       "      <td>-2.7699%</td>\n",
       "      <td>-1.1047%</td>\n",
       "      <td>-1.9769%</td>\n",
       "      <td>-1.2207%</td>\n",
       "      <td>-0.8855%</td>\n",
       "      <td>-4.6059%</td>\n",
       "      <td>-2.5394%</td>\n",
       "      <td>...</td>\n",
       "      <td>-2.2066%</td>\n",
       "      <td>-3.0309%</td>\n",
       "      <td>-1.0410%</td>\n",
       "      <td>-3.1557%</td>\n",
       "      <td>-1.6148%</td>\n",
       "      <td>-0.2700%</td>\n",
       "      <td>-2.2845%</td>\n",
       "      <td>-2.0570%</td>\n",
       "      <td>-0.5492%</td>\n",
       "      <td>-3.0019%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-08</th>\n",
       "      <td>0.2737%</td>\n",
       "      <td>-2.2705%</td>\n",
       "      <td>-1.6037%</td>\n",
       "      <td>-2.5425%</td>\n",
       "      <td>0.1099%</td>\n",
       "      <td>-0.2241%</td>\n",
       "      <td>0.5707%</td>\n",
       "      <td>-1.6402%</td>\n",
       "      <td>-1.7641%</td>\n",
       "      <td>-0.1649%</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.1538%</td>\n",
       "      <td>-1.1366%</td>\n",
       "      <td>-0.7308%</td>\n",
       "      <td>-0.1448%</td>\n",
       "      <td>0.0895%</td>\n",
       "      <td>-3.3839%</td>\n",
       "      <td>-0.1117%</td>\n",
       "      <td>-1.1386%</td>\n",
       "      <td>-0.9719%</td>\n",
       "      <td>-1.1254%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-11</th>\n",
       "      <td>-4.3384%</td>\n",
       "      <td>0.1693%</td>\n",
       "      <td>-1.6851%</td>\n",
       "      <td>-1.0215%</td>\n",
       "      <td>0.0915%</td>\n",
       "      <td>-1.1791%</td>\n",
       "      <td>0.5674%</td>\n",
       "      <td>0.5287%</td>\n",
       "      <td>0.6616%</td>\n",
       "      <td>0.0330%</td>\n",
       "      <td>...</td>\n",
       "      <td>1.6435%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.9869%</td>\n",
       "      <td>-0.1450%</td>\n",
       "      <td>1.2224%</td>\n",
       "      <td>1.4570%</td>\n",
       "      <td>0.5367%</td>\n",
       "      <td>-0.4607%</td>\n",
       "      <td>0.5800%</td>\n",
       "      <td>-1.9918%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                 APA       BA      BAX      BMY    CMCSA      CNP      CPB  \\\n",
       "Date                                                                         \n",
       "2016-01-05  -2.0257%  0.4057%  0.4035%  1.9693%  0.0180%  0.9305%  0.3678%   \n",
       "2016-01-06 -11.4863% -1.5879%  0.2412% -1.7557% -0.7727% -1.2473% -0.1736%   \n",
       "2016-01-07  -5.1389% -4.1922% -1.6573% -2.7699% -1.1047% -1.9769% -1.2207%   \n",
       "2016-01-08   0.2737% -2.2705% -1.6037% -2.5425%  0.1099% -0.2241%  0.5707%   \n",
       "2016-01-11  -4.3384%  0.1693% -1.6851% -1.0215%  0.0915% -1.1791%  0.5674%   \n",
       "\n",
       "                 DE      HPQ      JCI  ...       NI     PCAR      PSA  \\\n",
       "Date                                   ...                              \n",
       "2016-01-05  0.5783%  0.9483% -1.1954%  ...  1.5881%  0.0212%  2.8236%   \n",
       "2016-01-06 -1.1239% -3.5867% -0.9551%  ...  0.5547%  0.0212%  0.1592%   \n",
       "2016-01-07 -0.8855% -4.6059% -2.5394%  ... -2.2066% -3.0309% -1.0410%   \n",
       "2016-01-08 -1.6402% -1.7641% -0.1649%  ... -0.1538% -1.1366% -0.7308%   \n",
       "2016-01-11  0.5287%  0.6616%  0.0330%  ...  1.6435%  0.0000%  0.9869%   \n",
       "\n",
       "                SEE        T      TGT      TMO      TXT       VZ     ZION  \n",
       "Date                                                                       \n",
       "2016-01-05  0.9758%  0.6987%  1.7539% -0.1730%  0.2410%  1.3734% -1.0857%  \n",
       "2016-01-06 -1.5646% -0.1466% -1.0155% -0.7653% -3.0048% -0.9034% -2.9145%  \n",
       "2016-01-07 -3.1557% -1.6148% -0.2700% -2.2845% -2.0570% -0.5492% -3.0019%  \n",
       "2016-01-08 -0.1448%  0.0895% -3.3839% -0.1117% -1.1386% -0.9719% -1.1254%  \n",
       "2016-01-11 -0.1450%  1.2224%  1.4570%  0.5367% -0.4607%  0.5800% -1.9918%  \n",
       "\n",
       "[5 rows x 25 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Calculating returns\n",
    "\n",
    "Y = data.pct_change().dropna()\n",
    "\n",
    "display(Y.head())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. Estimating Mean Variance Portfolios with Short Weights\n",
    "### 2.1 Calculating the portfolio that maximizes Sharpe ratio."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>APA</th>\n",
       "      <th>BA</th>\n",
       "      <th>BAX</th>\n",
       "      <th>BMY</th>\n",
       "      <th>CMCSA</th>\n",
       "      <th>CNP</th>\n",
       "      <th>CPB</th>\n",
       "      <th>DE</th>\n",
       "      <th>HPQ</th>\n",
       "      <th>JCI</th>\n",
       "      <th>...</th>\n",
       "      <th>NI</th>\n",
       "      <th>PCAR</th>\n",
       "      <th>PSA</th>\n",
       "      <th>SEE</th>\n",
       "      <th>T</th>\n",
       "      <th>TGT</th>\n",
       "      <th>TMO</th>\n",
       "      <th>TXT</th>\n",
       "      <th>VZ</th>\n",
       "      <th>ZION</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>weights</th>\n",
       "      <td>-7.4505%</td>\n",
       "      <td>9.6510%</td>\n",
       "      <td>13.1870%</td>\n",
       "      <td>-1.2584%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>13.5246%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>8.1294%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>...</td>\n",
       "      <td>10.5964%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>-0.0000%</td>\n",
       "      <td>-7.0736%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>8.3224%</td>\n",
       "      <td>0.5395%</td>\n",
       "      <td>-14.2175%</td>\n",
       "      <td>5.2258%</td>\n",
       "      <td>0.0000%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             APA      BA      BAX      BMY   CMCSA      CNP     CPB      DE  \\\n",
       "weights -7.4505% 9.6510% 13.1870% -1.2584% 0.0000% 13.5246% 0.0000% 8.1294%   \n",
       "\n",
       "            HPQ     JCI  ...       NI    PCAR      PSA      SEE       T  \\\n",
       "weights 0.0000% 0.0000%  ... 10.5964% 0.0000% -0.0000% -7.0736% 0.0000%   \n",
       "\n",
       "            TGT     TMO       TXT      VZ    ZION  \n",
       "weights 8.3224% 0.5395% -14.2175% 5.2258% 0.0000%  \n",
       "\n",
       "[1 rows x 25 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import riskfolio.Portfolio as pf\n",
    "\n",
    "# Building the portfolio object\n",
    "port = pf.Portfolio(returns=Y)\n",
    "# Calculating optimum portfolio\n",
    "\n",
    "# Select method and estimate input parameters:\n",
    "\n",
    "method_mu='hist' # Method to estimate expected returns based on historical data.\n",
    "method_cov='hist' # Method to estimate covariance matrix based on historical data.\n",
    "\n",
    "port.assets_stats(method_mu=method_mu, method_cov=method_cov, d=0.94)\n",
    "\n",
    "# Configuring short weights options\n",
    "\n",
    "port.sht = True # Allows to use Short Weights\n",
    "port.uppersht = 0.3 # Maximum value of sum of short weights in absolute value\n",
    "\n",
    "# Estimate optimal portfolio:\n",
    "\n",
    "model='Classic' # Could be Classic (historical), BL (Black Litterman) or FM (Factor Model)\n",
    "rm = 'MV' # Risk measure used, this time will be variance\n",
    "obj = 'Sharpe' # Objective function, could be MinRisk, MaxRet, Utility or Sharpe\n",
    "hist = True # Use historical scenarios for risk measures that depend on scenarios\n",
    "rf = 0 # Risk free rate\n",
    "l = 0 # Risk aversion factor, only useful when obj is 'Utility'\n",
    "\n",
    "w = port.optimization(model=model, rm=rm, obj=obj, rf=rf, l=l, hist=hist)\n",
    "\n",
    "display(w.T)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.2 Plotting portfolio composition (in absolute values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import riskfolio.PlotFunctions as plf\n",
    "\n",
    "# Plotting the composition of the portfolio\n",
    "\n",
    "ax = plf.plot_pie(w=w, title='Sharpe Mean Variance', others=0.05, nrow=25, cmap = \"tab20\",\n",
    "                  height=6, width=10, ax=None)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.3 Calculate efficient frontier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>APA</th>\n",
       "      <th>BA</th>\n",
       "      <th>BAX</th>\n",
       "      <th>BMY</th>\n",
       "      <th>CMCSA</th>\n",
       "      <th>CNP</th>\n",
       "      <th>CPB</th>\n",
       "      <th>DE</th>\n",
       "      <th>HPQ</th>\n",
       "      <th>JCI</th>\n",
       "      <th>...</th>\n",
       "      <th>NI</th>\n",
       "      <th>PCAR</th>\n",
       "      <th>PSA</th>\n",
       "      <th>SEE</th>\n",
       "      <th>T</th>\n",
       "      <th>TGT</th>\n",
       "      <th>TMO</th>\n",
       "      <th>TXT</th>\n",
       "      <th>VZ</th>\n",
       "      <th>ZION</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-0.4221%</td>\n",
       "      <td>0.4020%</td>\n",
       "      <td>6.7542%</td>\n",
       "      <td>4.5401%</td>\n",
       "      <td>2.6686%</td>\n",
       "      <td>7.4323%</td>\n",
       "      <td>3.0097%</td>\n",
       "      <td>0.8023%</td>\n",
       "      <td>-1.9283%</td>\n",
       "      <td>3.3385%</td>\n",
       "      <td>...</td>\n",
       "      <td>11.3534%</td>\n",
       "      <td>-1.4058%</td>\n",
       "      <td>14.7396%</td>\n",
       "      <td>0.4975%</td>\n",
       "      <td>6.3555%</td>\n",
       "      <td>4.3629%</td>\n",
       "      <td>-1.0220%</td>\n",
       "      <td>-0.0776%</td>\n",
       "      <td>8.2728%</td>\n",
       "      <td>0.0346%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-2.5560%</td>\n",
       "      <td>3.3334%</td>\n",
       "      <td>8.9106%</td>\n",
       "      <td>1.5730%</td>\n",
       "      <td>2.5120%</td>\n",
       "      <td>10.0907%</td>\n",
       "      <td>2.1753%</td>\n",
       "      <td>2.9942%</td>\n",
       "      <td>-2.2882%</td>\n",
       "      <td>2.6594%</td>\n",
       "      <td>...</td>\n",
       "      <td>12.4123%</td>\n",
       "      <td>-0.5011%</td>\n",
       "      <td>9.9320%</td>\n",
       "      <td>-2.6762%</td>\n",
       "      <td>5.2984%</td>\n",
       "      <td>5.7896%</td>\n",
       "      <td>0.1014%</td>\n",
       "      <td>-5.5703%</td>\n",
       "      <td>8.5553%</td>\n",
       "      <td>-0.2135%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-3.4620%</td>\n",
       "      <td>4.5776%</td>\n",
       "      <td>9.8256%</td>\n",
       "      <td>0.3132%</td>\n",
       "      <td>2.4454%</td>\n",
       "      <td>11.2192%</td>\n",
       "      <td>1.8211%</td>\n",
       "      <td>3.9244%</td>\n",
       "      <td>-2.4407%</td>\n",
       "      <td>2.3708%</td>\n",
       "      <td>...</td>\n",
       "      <td>12.8620%</td>\n",
       "      <td>-0.1161%</td>\n",
       "      <td>7.8909%</td>\n",
       "      <td>-4.0233%</td>\n",
       "      <td>4.8496%</td>\n",
       "      <td>6.3953%</td>\n",
       "      <td>0.5796%</td>\n",
       "      <td>-7.9017%</td>\n",
       "      <td>8.6750%</td>\n",
       "      <td>-0.3177%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-4.1720%</td>\n",
       "      <td>5.5528%</td>\n",
       "      <td>10.5428%</td>\n",
       "      <td>-0.6740%</td>\n",
       "      <td>2.3933%</td>\n",
       "      <td>12.1036%</td>\n",
       "      <td>1.5435%</td>\n",
       "      <td>4.6536%</td>\n",
       "      <td>-2.5602%</td>\n",
       "      <td>2.1447%</td>\n",
       "      <td>...</td>\n",
       "      <td>13.2144%</td>\n",
       "      <td>0.1852%</td>\n",
       "      <td>6.2913%</td>\n",
       "      <td>-5.0790%</td>\n",
       "      <td>4.4978%</td>\n",
       "      <td>6.8699%</td>\n",
       "      <td>0.9537%</td>\n",
       "      <td>-9.7289%</td>\n",
       "      <td>8.7689%</td>\n",
       "      <td>-0.3997%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-4.7827%</td>\n",
       "      <td>6.3919%</td>\n",
       "      <td>11.1600%</td>\n",
       "      <td>-1.5236%</td>\n",
       "      <td>2.3485%</td>\n",
       "      <td>12.8646%</td>\n",
       "      <td>1.3048%</td>\n",
       "      <td>5.2809%</td>\n",
       "      <td>-2.6638%</td>\n",
       "      <td>1.9506%</td>\n",
       "      <td>...</td>\n",
       "      <td>13.5174%</td>\n",
       "      <td>0.4445%</td>\n",
       "      <td>4.9160%</td>\n",
       "      <td>-5.9877%</td>\n",
       "      <td>4.1959%</td>\n",
       "      <td>7.2783%</td>\n",
       "      <td>1.2755%</td>\n",
       "      <td>-11.3014%</td>\n",
       "      <td>8.8499%</td>\n",
       "      <td>-0.4720%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       APA      BA      BAX      BMY   CMCSA      CNP     CPB      DE  \\\n",
       "0 -0.4221% 0.4020%  6.7542%  4.5401% 2.6686%  7.4323% 3.0097% 0.8023%   \n",
       "1 -2.5560% 3.3334%  8.9106%  1.5730% 2.5120% 10.0907% 2.1753% 2.9942%   \n",
       "2 -3.4620% 4.5776%  9.8256%  0.3132% 2.4454% 11.2192% 1.8211% 3.9244%   \n",
       "3 -4.1720% 5.5528% 10.5428% -0.6740% 2.3933% 12.1036% 1.5435% 4.6536%   \n",
       "4 -4.7827% 6.3919% 11.1600% -1.5236% 2.3485% 12.8646% 1.3048% 5.2809%   \n",
       "\n",
       "       HPQ     JCI  ...       NI     PCAR      PSA      SEE       T     TGT  \\\n",
       "0 -1.9283% 3.3385%  ... 11.3534% -1.4058% 14.7396%  0.4975% 6.3555% 4.3629%   \n",
       "1 -2.2882% 2.6594%  ... 12.4123% -0.5011%  9.9320% -2.6762% 5.2984% 5.7896%   \n",
       "2 -2.4407% 2.3708%  ... 12.8620% -0.1161%  7.8909% -4.0233% 4.8496% 6.3953%   \n",
       "3 -2.5602% 2.1447%  ... 13.2144%  0.1852%  6.2913% -5.0790% 4.4978% 6.8699%   \n",
       "4 -2.6638% 1.9506%  ... 13.5174%  0.4445%  4.9160% -5.9877% 4.1959% 7.2783%   \n",
       "\n",
       "       TMO       TXT      VZ     ZION  \n",
       "0 -1.0220%  -0.0776% 8.2728%  0.0346%  \n",
       "1  0.1014%  -5.5703% 8.5553% -0.2135%  \n",
       "2  0.5796%  -7.9017% 8.6750% -0.3177%  \n",
       "3  0.9537%  -9.7289% 8.7689% -0.3997%  \n",
       "4  1.2755% -11.3014% 8.8499% -0.4720%  \n",
       "\n",
       "[5 rows x 25 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "points = 50 # Number of points of the frontier\n",
    "\n",
    "frontier = port.efficient_frontier(model=model, rm=rm, points=points, rf=rf, hist=hist)\n",
    "\n",
    "display(frontier.T.head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting the efficient frontier\n",
    "\n",
    "label = 'Max Risk Adjusted Return Portfolio' # Title of point\n",
    "mu = port.mu # Expected returns\n",
    "cov = port.cov # Covariance matrix\n",
    "returns = port.returns # Returns of the assets\n",
    "\n",
    "ax = plf.plot_frontier(w_frontier=frontier, mu=mu, cov=cov, returns=returns, rm=rm,\n",
    "                       rf=rf, alpha=0.05, cmap='viridis', w=w, label=label,\n",
    "                       marker='*', s=16, c='r', height=6, width=10, ax=None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting efficient frontier composition\n",
    "# This chart doesn't work well will short weights and leverage\n",
    "\n",
    "ax = plf.plot_frontier_area(w_frontier=frontier, cmap=\"tab20\", height=6, width=10, ax=None)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. Estimating Mean Variance Portfolios with Leverage and Short Weights\n",
    "\n",
    "### 3.1 Calculating the portfolio that maximizes Sharpe ratio."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>APA</th>\n",
       "      <th>BA</th>\n",
       "      <th>BAX</th>\n",
       "      <th>BMY</th>\n",
       "      <th>CMCSA</th>\n",
       "      <th>CNP</th>\n",
       "      <th>CPB</th>\n",
       "      <th>DE</th>\n",
       "      <th>HPQ</th>\n",
       "      <th>JCI</th>\n",
       "      <th>...</th>\n",
       "      <th>NI</th>\n",
       "      <th>PCAR</th>\n",
       "      <th>PSA</th>\n",
       "      <th>SEE</th>\n",
       "      <th>T</th>\n",
       "      <th>TGT</th>\n",
       "      <th>TMO</th>\n",
       "      <th>TXT</th>\n",
       "      <th>VZ</th>\n",
       "      <th>ZION</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>weights</th>\n",
       "      <td>-8.8386%</td>\n",
       "      <td>11.6055%</td>\n",
       "      <td>16.5865%</td>\n",
       "      <td>-0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>16.4663%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>9.4147%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>...</td>\n",
       "      <td>13.7571%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>-0.0000%</td>\n",
       "      <td>-6.2642%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>10.4659%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>-14.8972%</td>\n",
       "      <td>6.6789%</td>\n",
       "      <td>0.0000%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             APA       BA      BAX      BMY   CMCSA      CNP     CPB      DE  \\\n",
       "weights -8.8386% 11.6055% 16.5865% -0.0000% 0.0000% 16.4663% 0.0000% 9.4147%   \n",
       "\n",
       "            HPQ     JCI  ...       NI    PCAR      PSA      SEE       T  \\\n",
       "weights 0.0000% 0.0000%  ... 13.7571% 0.0000% -0.0000% -6.2642% 0.0000%   \n",
       "\n",
       "             TGT     TMO       TXT      VZ    ZION  \n",
       "weights 10.4659% 0.0000% -14.8972% 6.6789% 0.0000%  \n",
       "\n",
       "[1 rows x 25 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import riskfolio.Portfolio as pf\n",
    "\n",
    "# Building the portfolio object\n",
    "port = pf.Portfolio(returns=Y[assets])\n",
    "# Calculating optimum portfolio\n",
    "\n",
    "# Select method and estimate input parameters:\n",
    "\n",
    "method_mu='hist' # Method to estimate expected returns based on historical data.\n",
    "method_cov='hist' # Method to estimate covariance matrix based on historical data.\n",
    "\n",
    "port.assets_stats(method_mu=method_mu, method_cov=method_cov, d=0.94)\n",
    "\n",
    "# Configuring short weights options\n",
    "\n",
    "port.sht = True # Allows to use Short Weights\n",
    "port.uppersht = 0.3 # Maximum value of sum of short weights in absolute value\n",
    "\n",
    "# Configuring leverage\n",
    "\n",
    "port.upperlng = 1.3 # Maximum value of sum of total weights (Budget greater than 1 means leverage)\n",
    "\n",
    "# Estimate optimal portfolio:\n",
    "\n",
    "model='Classic' # Could be Classic (historical), BL (Black Litterman) or FM (Factor Model)\n",
    "rm = 'MV' # Risk measure used, this time will be variance\n",
    "obj = \"Sharpe\" # Objective function, could be MinRisk, MaxRet, Utility or Sharpe\n",
    "hist = True # Use historical scenarios for risk measures that depend on scenarios\n",
    "rf = 0 # Risk free rate\n",
    "l = 0 # Risk aversion factor, only useful when obj is 'Utility'\n",
    "\n",
    "w = port.optimization(model=model, rm=rm, obj=obj, rf=rf, l=l, hist=hist)\n",
    "\n",
    "display(w.T)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3.2 Plotting portfolio composition"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import riskfolio.PlotFunctions as plf\n",
    "\n",
    "# Plotting the composition of the portfolio\n",
    "\n",
    "ax = plf.plot_pie(w=w, title='Sharpe Mean Variance', others=0.05, nrow=25, cmap = \"tab20\",\n",
    "                  height=6, width=10, ax=None)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3.3 Calculate efficient frontier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>APA</th>\n",
       "      <th>BA</th>\n",
       "      <th>BAX</th>\n",
       "      <th>BMY</th>\n",
       "      <th>CMCSA</th>\n",
       "      <th>CNP</th>\n",
       "      <th>CPB</th>\n",
       "      <th>DE</th>\n",
       "      <th>HPQ</th>\n",
       "      <th>JCI</th>\n",
       "      <th>...</th>\n",
       "      <th>NI</th>\n",
       "      <th>PCAR</th>\n",
       "      <th>PSA</th>\n",
       "      <th>SEE</th>\n",
       "      <th>T</th>\n",
       "      <th>TGT</th>\n",
       "      <th>TMO</th>\n",
       "      <th>TXT</th>\n",
       "      <th>VZ</th>\n",
       "      <th>ZION</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-0.5487%</td>\n",
       "      <td>0.5225%</td>\n",
       "      <td>8.7804%</td>\n",
       "      <td>5.9021%</td>\n",
       "      <td>3.4692%</td>\n",
       "      <td>9.6620%</td>\n",
       "      <td>3.9127%</td>\n",
       "      <td>1.0429%</td>\n",
       "      <td>-2.5068%</td>\n",
       "      <td>4.3400%</td>\n",
       "      <td>...</td>\n",
       "      <td>14.7594%</td>\n",
       "      <td>-1.8274%</td>\n",
       "      <td>19.1614%</td>\n",
       "      <td>0.6467%</td>\n",
       "      <td>8.2621%</td>\n",
       "      <td>5.6718%</td>\n",
       "      <td>-1.3283%</td>\n",
       "      <td>-0.1008%</td>\n",
       "      <td>10.7547%</td>\n",
       "      <td>0.0450%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-3.1907%</td>\n",
       "      <td>4.1517%</td>\n",
       "      <td>11.4500%</td>\n",
       "      <td>2.2286%</td>\n",
       "      <td>3.2753%</td>\n",
       "      <td>12.9533%</td>\n",
       "      <td>2.8796%</td>\n",
       "      <td>3.7566%</td>\n",
       "      <td>-2.9523%</td>\n",
       "      <td>3.4992%</td>\n",
       "      <td>...</td>\n",
       "      <td>16.0704%</td>\n",
       "      <td>-0.7069%</td>\n",
       "      <td>13.2093%</td>\n",
       "      <td>-3.2826%</td>\n",
       "      <td>6.9535%</td>\n",
       "      <td>7.4381%</td>\n",
       "      <td>0.0631%</td>\n",
       "      <td>-6.9011%</td>\n",
       "      <td>11.1042%</td>\n",
       "      <td>-0.2615%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-4.3099%</td>\n",
       "      <td>5.6889%</td>\n",
       "      <td>12.5805%</td>\n",
       "      <td>0.6723%</td>\n",
       "      <td>3.1931%</td>\n",
       "      <td>14.3474%</td>\n",
       "      <td>2.4420%</td>\n",
       "      <td>4.9058%</td>\n",
       "      <td>-3.1408%</td>\n",
       "      <td>3.1427%</td>\n",
       "      <td>...</td>\n",
       "      <td>16.6260%</td>\n",
       "      <td>-0.2316%</td>\n",
       "      <td>10.6878%</td>\n",
       "      <td>-4.9467%</td>\n",
       "      <td>6.3989%</td>\n",
       "      <td>8.1863%</td>\n",
       "      <td>0.6531%</td>\n",
       "      <td>-9.7813%</td>\n",
       "      <td>11.2523%</td>\n",
       "      <td>-0.3906%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-5.1854%</td>\n",
       "      <td>6.8914%</td>\n",
       "      <td>13.4650%</td>\n",
       "      <td>-0.5448%</td>\n",
       "      <td>3.1287%</td>\n",
       "      <td>15.4379%</td>\n",
       "      <td>2.0996%</td>\n",
       "      <td>5.8049%</td>\n",
       "      <td>-3.2880%</td>\n",
       "      <td>2.8638%</td>\n",
       "      <td>...</td>\n",
       "      <td>17.0606%</td>\n",
       "      <td>0.1397%</td>\n",
       "      <td>8.7152%</td>\n",
       "      <td>-6.2484%</td>\n",
       "      <td>5.9649%</td>\n",
       "      <td>8.7716%</td>\n",
       "      <td>1.1142%</td>\n",
       "      <td>-12.0343%</td>\n",
       "      <td>11.3681%</td>\n",
       "      <td>-0.4915%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-5.9889%</td>\n",
       "      <td>7.8976%</td>\n",
       "      <td>14.2436%</td>\n",
       "      <td>-1.1616%</td>\n",
       "      <td>2.9575%</td>\n",
       "      <td>16.2830%</td>\n",
       "      <td>1.5344%</td>\n",
       "      <td>6.5684%</td>\n",
       "      <td>-2.5952%</td>\n",
       "      <td>2.1887%</td>\n",
       "      <td>...</td>\n",
       "      <td>17.4752%</td>\n",
       "      <td>0.0003%</td>\n",
       "      <td>6.1445%</td>\n",
       "      <td>-6.9282%</td>\n",
       "      <td>4.8794%</td>\n",
       "      <td>9.2572%</td>\n",
       "      <td>1.2878%</td>\n",
       "      <td>-13.3059%</td>\n",
       "      <td>11.3849%</td>\n",
       "      <td>0.0000%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       APA      BA      BAX      BMY   CMCSA      CNP     CPB      DE  \\\n",
       "0 -0.5487% 0.5225%  8.7804%  5.9021% 3.4692%  9.6620% 3.9127% 1.0429%   \n",
       "1 -3.1907% 4.1517% 11.4500%  2.2286% 3.2753% 12.9533% 2.8796% 3.7566%   \n",
       "2 -4.3099% 5.6889% 12.5805%  0.6723% 3.1931% 14.3474% 2.4420% 4.9058%   \n",
       "3 -5.1854% 6.8914% 13.4650% -0.5448% 3.1287% 15.4379% 2.0996% 5.8049%   \n",
       "4 -5.9889% 7.8976% 14.2436% -1.1616% 2.9575% 16.2830% 1.5344% 6.5684%   \n",
       "\n",
       "       HPQ     JCI  ...       NI     PCAR      PSA      SEE       T     TGT  \\\n",
       "0 -2.5068% 4.3400%  ... 14.7594% -1.8274% 19.1614%  0.6467% 8.2621% 5.6718%   \n",
       "1 -2.9523% 3.4992%  ... 16.0704% -0.7069% 13.2093% -3.2826% 6.9535% 7.4381%   \n",
       "2 -3.1408% 3.1427%  ... 16.6260% -0.2316% 10.6878% -4.9467% 6.3989% 8.1863%   \n",
       "3 -3.2880% 2.8638%  ... 17.0606%  0.1397%  8.7152% -6.2484% 5.9649% 8.7716%   \n",
       "4 -2.5952% 2.1887%  ... 17.4752%  0.0003%  6.1445% -6.9282% 4.8794% 9.2572%   \n",
       "\n",
       "       TMO       TXT       VZ     ZION  \n",
       "0 -1.3283%  -0.1008% 10.7547%  0.0450%  \n",
       "1  0.0631%  -6.9011% 11.1042% -0.2615%  \n",
       "2  0.6531%  -9.7813% 11.2523% -0.3906%  \n",
       "3  1.1142% -12.0343% 11.3681% -0.4915%  \n",
       "4  1.2878% -13.3059% 11.3849%  0.0000%  \n",
       "\n",
       "[5 rows x 25 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "points = 50 # Number of points of the frontier\n",
    "\n",
    "frontier = port.efficient_frontier(model=model, rm=rm, points=points, rf=rf, hist=hist)\n",
    "\n",
    "display(frontier.T.head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting the efficient frontier\n",
    "\n",
    "label = 'Max Risk Adjusted Return Portfolio' # Title of point\n",
    "mu = port.mu # Expected returns\n",
    "cov = port.cov # Covariance matrix\n",
    "returns = port.returns # Returns of the assets\n",
    "\n",
    "ax = plf.plot_frontier(w_frontier=frontier, mu=mu, cov=cov, returns=returns, rm=rm,\n",
    "                       rf=rf, alpha=0.05, cmap='viridis', w=w, label=label,\n",
    "                       marker='*', s=16, c='r', height=6, width=10, ax=None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting efficient frontier composition\n",
    "# This chart doesn't work well will short weights and leverage\n",
    "\n",
    "ax = plf.plot_frontier_area(w_frontier=frontier, cmap=\"tab20\", height=6, width=10, ax=None)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. Estimating Mean Risk Portfolios with Leverage and Short Weights\n",
    "\n",
    "In this part I will calculate optimal portfolios for several risk measures allowing __Leverage and Short Weights__. First I'm going to calculate the portfolio that maximizes risk adjusted return when CVaR is the risk measure, then I'm going to calculate the portfolios that maximize the risk adjusted return for all available risk measures.\n",
    "\n",
    "### 3.1 Calculating the portfolio that maximizes Return/CVaR ratio."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>APA</th>\n",
       "      <th>BA</th>\n",
       "      <th>BAX</th>\n",
       "      <th>BMY</th>\n",
       "      <th>CMCSA</th>\n",
       "      <th>CNP</th>\n",
       "      <th>CPB</th>\n",
       "      <th>DE</th>\n",
       "      <th>HPQ</th>\n",
       "      <th>JCI</th>\n",
       "      <th>...</th>\n",
       "      <th>NI</th>\n",
       "      <th>PCAR</th>\n",
       "      <th>PSA</th>\n",
       "      <th>SEE</th>\n",
       "      <th>T</th>\n",
       "      <th>TGT</th>\n",
       "      <th>TMO</th>\n",
       "      <th>TXT</th>\n",
       "      <th>VZ</th>\n",
       "      <th>ZION</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>weights</th>\n",
       "      <td>-7.8923%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>19.3945%</td>\n",
       "      <td>-0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>17.3210%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>11.1503%</td>\n",
       "      <td>-0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>...</td>\n",
       "      <td>13.7702%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>-6.6619%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>16.2174%</td>\n",
       "      <td>6.7769%</td>\n",
       "      <td>-15.4459%</td>\n",
       "      <td>10.3509%</td>\n",
       "      <td>0.0000%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             APA      BA      BAX      BMY   CMCSA      CNP     CPB       DE  \\\n",
       "weights -7.8923% 0.0000% 19.3945% -0.0000% 0.0000% 17.3210% 0.0000% 11.1503%   \n",
       "\n",
       "             HPQ     JCI  ...       NI    PCAR     PSA      SEE       T  \\\n",
       "weights -0.0000% 0.0000%  ... 13.7702% 0.0000% 0.0000% -6.6619% 0.0000%   \n",
       "\n",
       "             TGT     TMO       TXT       VZ    ZION  \n",
       "weights 16.2174% 6.7769% -15.4459% 10.3509% 0.0000%  \n",
       "\n",
       "[1 rows x 25 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "rm = 'CVaR' # Risk measure\n",
    "\n",
    "w = port.optimization(model=model, rm=rm, obj=obj, rf=rf, l=l, hist=hist)\n",
    "\n",
    "display(w.T)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3.2 Plotting portfolio composition"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = plf.plot_pie(w=w, title='Sharpe Mean CVaR', others=0.05, nrow=25, cmap = \"tab20\",\n",
    "                  height=6, width=10, ax=None)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3.3 Calculate efficient frontier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>APA</th>\n",
       "      <th>BA</th>\n",
       "      <th>BAX</th>\n",
       "      <th>BMY</th>\n",
       "      <th>CMCSA</th>\n",
       "      <th>CNP</th>\n",
       "      <th>CPB</th>\n",
       "      <th>DE</th>\n",
       "      <th>HPQ</th>\n",
       "      <th>JCI</th>\n",
       "      <th>...</th>\n",
       "      <th>NI</th>\n",
       "      <th>PCAR</th>\n",
       "      <th>PSA</th>\n",
       "      <th>SEE</th>\n",
       "      <th>T</th>\n",
       "      <th>TGT</th>\n",
       "      <th>TMO</th>\n",
       "      <th>TXT</th>\n",
       "      <th>VZ</th>\n",
       "      <th>ZION</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1.8339%</td>\n",
       "      <td>0.7847%</td>\n",
       "      <td>2.0356%</td>\n",
       "      <td>9.6251%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>3.1286%</td>\n",
       "      <td>8.4906%</td>\n",
       "      <td>-6.7985%</td>\n",
       "      <td>-19.2909%</td>\n",
       "      <td>11.1529%</td>\n",
       "      <td>...</td>\n",
       "      <td>11.9927%</td>\n",
       "      <td>5.5712%</td>\n",
       "      <td>19.4225%</td>\n",
       "      <td>1.9219%</td>\n",
       "      <td>9.4932%</td>\n",
       "      <td>8.0508%</td>\n",
       "      <td>-0.0000%</td>\n",
       "      <td>-3.2409%</td>\n",
       "      <td>24.3145%</td>\n",
       "      <td>-0.6697%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-2.3992%</td>\n",
       "      <td>1.4913%</td>\n",
       "      <td>7.0672%</td>\n",
       "      <td>4.8267%</td>\n",
       "      <td>-0.0000%</td>\n",
       "      <td>5.0170%</td>\n",
       "      <td>8.4425%</td>\n",
       "      <td>4.1331%</td>\n",
       "      <td>-15.2102%</td>\n",
       "      <td>5.2649%</td>\n",
       "      <td>...</td>\n",
       "      <td>9.4873%</td>\n",
       "      <td>3.8617%</td>\n",
       "      <td>18.6675%</td>\n",
       "      <td>-7.3238%</td>\n",
       "      <td>4.1398%</td>\n",
       "      <td>11.0209%</td>\n",
       "      <td>4.4150%</td>\n",
       "      <td>-5.0668%</td>\n",
       "      <td>21.4149%</td>\n",
       "      <td>0.0000%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-3.1712%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>6.4943%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>8.4300%</td>\n",
       "      <td>4.2219%</td>\n",
       "      <td>6.9836%</td>\n",
       "      <td>-13.7850%</td>\n",
       "      <td>5.6901%</td>\n",
       "      <td>...</td>\n",
       "      <td>9.9196%</td>\n",
       "      <td>3.9092%</td>\n",
       "      <td>15.2267%</td>\n",
       "      <td>-5.3123%</td>\n",
       "      <td>0.7490%</td>\n",
       "      <td>12.4311%</td>\n",
       "      <td>2.9392%</td>\n",
       "      <td>-7.7315%</td>\n",
       "      <td>23.7537%</td>\n",
       "      <td>0.0000%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-4.2183%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>7.9039%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>14.9583%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>7.8432%</td>\n",
       "      <td>-11.0276%</td>\n",
       "      <td>4.0187%</td>\n",
       "      <td>...</td>\n",
       "      <td>9.8470%</td>\n",
       "      <td>0.6848%</td>\n",
       "      <td>13.0266%</td>\n",
       "      <td>-8.2629%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>14.9031%</td>\n",
       "      <td>1.9930%</td>\n",
       "      <td>-6.4912%</td>\n",
       "      <td>21.9589%</td>\n",
       "      <td>0.0000%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-5.2348%</td>\n",
       "      <td>2.9542%</td>\n",
       "      <td>7.6514%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>25.2616%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>6.5223%</td>\n",
       "      <td>-5.8868%</td>\n",
       "      <td>2.5152%</td>\n",
       "      <td>...</td>\n",
       "      <td>6.8557%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>7.3433%</td>\n",
       "      <td>-10.8014%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>13.6731%</td>\n",
       "      <td>0.0000%</td>\n",
       "      <td>-8.0770%</td>\n",
       "      <td>23.3281%</td>\n",
       "      <td>0.0000%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       APA      BA     BAX     BMY    CMCSA      CNP     CPB       DE  \\\n",
       "0  1.8339% 0.7847% 2.0356% 9.6251%  0.0000%  3.1286% 8.4906% -6.7985%   \n",
       "1 -2.3992% 1.4913% 7.0672% 4.8267% -0.0000%  5.0170% 8.4425%  4.1331%   \n",
       "2 -3.1712% 0.0000% 6.4943% 0.0000%  0.0000%  8.4300% 4.2219%  6.9836%   \n",
       "3 -4.2183% 0.0000% 7.9039% 0.0000%  0.0000% 14.9583% 0.0000%  7.8432%   \n",
       "4 -5.2348% 2.9542% 7.6514% 0.0000%  0.0000% 25.2616% 0.0000%  6.5223%   \n",
       "\n",
       "        HPQ      JCI  ...       NI    PCAR      PSA       SEE       T  \\\n",
       "0 -19.2909% 11.1529%  ... 11.9927% 5.5712% 19.4225%   1.9219% 9.4932%   \n",
       "1 -15.2102%  5.2649%  ...  9.4873% 3.8617% 18.6675%  -7.3238% 4.1398%   \n",
       "2 -13.7850%  5.6901%  ...  9.9196% 3.9092% 15.2267%  -5.3123% 0.7490%   \n",
       "3 -11.0276%  4.0187%  ...  9.8470% 0.6848% 13.0266%  -8.2629% 0.0000%   \n",
       "4  -5.8868%  2.5152%  ...  6.8557% 0.0000%  7.3433% -10.8014% 0.0000%   \n",
       "\n",
       "       TGT      TMO      TXT       VZ     ZION  \n",
       "0  8.0508% -0.0000% -3.2409% 24.3145% -0.6697%  \n",
       "1 11.0209%  4.4150% -5.0668% 21.4149%  0.0000%  \n",
       "2 12.4311%  2.9392% -7.7315% 23.7537%  0.0000%  \n",
       "3 14.9031%  1.9930% -6.4912% 21.9589%  0.0000%  \n",
       "4 13.6731%  0.0000% -8.0770% 23.3281%  0.0000%  \n",
       "\n",
       "[5 rows x 25 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "points = 50 # Number of points of the frontier\n",
    "\n",
    "frontier = port.efficient_frontier(model=model, rm=rm, points=points, rf=rf, hist=hist)\n",
    "\n",
    "display(frontier.T.head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "label = 'Max Risk Adjusted Return Portfolio' # Title of point\n",
    "\n",
    "ax = plf.plot_frontier(w_frontier=frontier, mu=mu, cov=cov, returns=returns, rm=rm,\n",
    "                       rf=rf, alpha=0.05, cmap='viridis', w=w, label=label,\n",
    "                       marker='*', s=16, c='r', height=6, width=10, ax=None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting efficient frontier composition\n",
    "# This chart doesn't work well will short weights and leverage\n",
    "\n",
    "ax = plf.plot_frontier_area(w_frontier=frontier, cmap=\"tab20\", height=6, width=10, ax=None)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3.4 Calculate Optimal Portfolios for Several Risk Measures"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Risk Measures available:\n",
    "#\n",
    "# 'MV': Standard Deviation.\n",
    "# 'MAD': Mean Absolute Deviation.\n",
    "# 'MSV': Semi Standard Deviation.\n",
    "# 'FLPM': First Lower Partial Moment (Omega Ratio).\n",
    "# 'SLPM': Second Lower Partial Moment (Sortino Ratio).\n",
    "# 'CVaR': Conditional Value at Risk.\n",
    "# 'EVaR': Entropic Value at Risk.\n",
    "# 'WR': Worst Realization (Minimax)\n",
    "# 'MDD': Maximum Drawdown of uncompounded cumulative returns (Calmar Ratio).\n",
    "# 'ADD': Average Drawdown of uncompounded cumulative returns.\n",
    "# 'CDaR': Conditional Drawdown at Risk of uncompounded cumulative returns.\n",
    "# 'EDaR': Entropic Drawdown at Risk of uncompounded cumulative returns.\n",
    "# 'UCI': Ulcer Index of uncompounded cumulative returns.\n",
    "\n",
    "rms = ['MV', 'MAD', 'MSV', 'FLPM', 'SLPM', 'CVaR',\n",
    "       'EVaR', 'WR', 'MDD', 'ADD', 'CDaR', 'UCI', 'EDaR']\n",
    "\n",
    "w_s = pd.DataFrame([])\n",
    "\n",
    "for i in rms:\n",
    "    w = port.optimization(model=model, rm=i, obj=obj, rf=rf, l=l, hist=hist)\n",
    "    w_s = pd.concat([w_s, w], axis=1)\n",
    "    \n",
    "w_s.columns = rms"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style  type=\"text/css\" >\n",
       "#T_2649e_row0_col0,#T_2649e_row0_col2{\n",
       "            background-color:  #f6fcb8;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row0_col1,#T_2649e_row0_col5{\n",
       "            background-color:  #f0f9b4;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row0_col3,#T_2649e_row18_col3{\n",
       "            background-color:  #e7f6ad;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row0_col4{\n",
       "            background-color:  #f7fcbc;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row0_col6,#T_2649e_row0_col7,#T_2649e_row0_col8,#T_2649e_row0_col10,#T_2649e_row0_col12,#T_2649e_row22_col0,#T_2649e_row22_col1,#T_2649e_row22_col2,#T_2649e_row22_col3,#T_2649e_row22_col4,#T_2649e_row22_col5,#T_2649e_row22_col9,#T_2649e_row22_col11{\n",
       "            background-color:  #ffffe5;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row0_col9{\n",
       "            background-color:  #ddf1a6;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row0_col11{\n",
       "            background-color:  #fafdc8;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row1_col0,#T_2649e_row2_col9{\n",
       "            background-color:  #56b568;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row1_col1,#T_2649e_row14_col8{\n",
       "            background-color:  #4ab062;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row1_col2{\n",
       "            background-color:  #5db96b;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row1_col3,#T_2649e_row2_col2,#T_2649e_row5_col3{\n",
       "            background-color:  #3fa95c;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row1_col4,#T_2649e_row20_col0{\n",
       "            background-color:  #61bb6d;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row1_col5,#T_2649e_row3_col2,#T_2649e_row3_col5,#T_2649e_row4_col2,#T_2649e_row4_col5,#T_2649e_row6_col2,#T_2649e_row6_col5,#T_2649e_row8_col2,#T_2649e_row8_col5,#T_2649e_row9_col2,#T_2649e_row9_col5,#T_2649e_row11_col2,#T_2649e_row11_col5,#T_2649e_row13_col2,#T_2649e_row13_col5,#T_2649e_row16_col2,#T_2649e_row16_col5,#T_2649e_row17_col2,#T_2649e_row17_col5,#T_2649e_row19_col2,#T_2649e_row19_col5,#T_2649e_row21_col2,#T_2649e_row24_col2,#T_2649e_row24_col5{\n",
       "            background-color:  #c1e698;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row1_col6{\n",
       "            background-color:  #9ad587;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row1_col7,#T_2649e_row3_col7,#T_2649e_row4_col7,#T_2649e_row7_col7,#T_2649e_row8_col7,#T_2649e_row9_col7,#T_2649e_row10_col7,#T_2649e_row11_col7,#T_2649e_row15_col7,#T_2649e_row17_col7,#T_2649e_row18_col7,#T_2649e_row19_col7,#T_2649e_row21_col7,#T_2649e_row23_col7,#T_2649e_row24_col7{\n",
       "            background-color:  #b6e192;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row1_col8{\n",
       "            background-color:  #4eb163;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row1_col9{\n",
       "            background-color:  #8dcf81;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row1_col10,#T_2649e_row7_col9,#T_2649e_row23_col4{\n",
       "            background-color:  #afde8f;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row1_col11,#T_2649e_row24_col9{\n",
       "            background-color:  #b2df90;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row1_col12{\n",
       "            background-color:  #a2d88a;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row2_col0,#T_2649e_row12_col9{\n",
       "            background-color:  #329850;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row2_col1{\n",
       "            background-color:  #45ad5f;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row2_col3{\n",
       "            background-color:  #3da559;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row2_col4{\n",
       "            background-color:  #43ac5e;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row2_col5{\n",
       "            background-color:  #2b8e4a;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row2_col6{\n",
       "            background-color:  #7fc97c;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row2_col7{\n",
       "            background-color:  #7cc87b;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row2_col8,#T_2649e_row12_col8{\n",
       "            background-color:  #00542f;\n",
       "            color:  #f1f1f1;\n",
       "        }#T_2649e_row2_col10{\n",
       "            background-color:  #acdd8e;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row2_col11,#T_2649e_row23_col0{\n",
       "            background-color:  #84cb7e;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row2_col12{\n",
       "            background-color:  #8ed082;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row3_col0,#T_2649e_row4_col0,#T_2649e_row6_col0,#T_2649e_row8_col0,#T_2649e_row9_col0,#T_2649e_row11_col0,#T_2649e_row13_col0,#T_2649e_row16_col0,#T_2649e_row17_col0,#T_2649e_row19_col0,#T_2649e_row21_col0,#T_2649e_row24_col0{\n",
       "            background-color:  #bee596;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row3_col1,#T_2649e_row4_col1,#T_2649e_row6_col1,#T_2649e_row7_col12,#T_2649e_row8_col1,#T_2649e_row9_col1,#T_2649e_row11_col1,#T_2649e_row13_col1,#T_2649e_row16_col1,#T_2649e_row17_col1,#T_2649e_row19_col1,#T_2649e_row24_col1{\n",
       "            background-color:  #bce395;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row3_col3,#T_2649e_row4_col3,#T_2649e_row6_col3,#T_2649e_row8_col3,#T_2649e_row9_col3,#T_2649e_row11_col3,#T_2649e_row13_col3,#T_2649e_row16_col3,#T_2649e_row17_col3,#T_2649e_row21_col3,#T_2649e_row24_col3{\n",
       "            background-color:  #b9e294;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row3_col4,#T_2649e_row4_col4,#T_2649e_row6_col4,#T_2649e_row8_col4,#T_2649e_row9_col4,#T_2649e_row11_col4,#T_2649e_row13_col4,#T_2649e_row16_col4,#T_2649e_row17_col4,#T_2649e_row19_col4,#T_2649e_row21_col4,#T_2649e_row24_col4{\n",
       "            background-color:  #c4e799;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row3_col6,#T_2649e_row4_col6,#T_2649e_row7_col6,#T_2649e_row8_col6,#T_2649e_row9_col6,#T_2649e_row11_col6,#T_2649e_row13_col6,#T_2649e_row15_col6,#T_2649e_row15_col12,#T_2649e_row16_col6,#T_2649e_row17_col6,#T_2649e_row19_col6,#T_2649e_row21_col6,#T_2649e_row23_col6,#T_2649e_row24_col6{\n",
       "            background-color:  #c3e698;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row3_col8,#T_2649e_row6_col8,#T_2649e_row7_col8,#T_2649e_row8_col8,#T_2649e_row9_col8,#T_2649e_row10_col8,#T_2649e_row11_col8,#T_2649e_row16_col8,#T_2649e_row17_col8,#T_2649e_row18_col8,#T_2649e_row19_col8,#T_2649e_row20_col8,#T_2649e_row21_col8,#T_2649e_row22_col8,#T_2649e_row24_col8{\n",
       "            background-color:  #b5e092;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row3_col9,#T_2649e_row4_col9,#T_2649e_row15_col10{\n",
       "            background-color:  #dbf1a4;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row3_col10,#T_2649e_row22_col10{\n",
       "            background-color:  #f7fcba;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row3_col11{\n",
       "            background-color:  #f5fbb8;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row3_col12,#T_2649e_row4_col11,#T_2649e_row6_col11,#T_2649e_row9_col11,#T_2649e_row11_col11,#T_2649e_row16_col11,#T_2649e_row17_col11,#T_2649e_row19_col11,#T_2649e_row20_col11,#T_2649e_row21_col11,#T_2649e_row24_col11{\n",
       "            background-color:  #e6f5ac;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row4_col8{\n",
       "            background-color:  #d7efa2;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row4_col10{\n",
       "            background-color:  #f8fdc1;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row4_col12,#T_2649e_row6_col12,#T_2649e_row8_col12,#T_2649e_row9_col12,#T_2649e_row10_col12,#T_2649e_row11_col12,#T_2649e_row16_col12,#T_2649e_row17_col12,#T_2649e_row18_col12,#T_2649e_row19_col12,#T_2649e_row21_col12,#T_2649e_row24_col12{\n",
       "            background-color:  #d3eda0;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row5_col0{\n",
       "            background-color:  #339951;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row5_col1{\n",
       "            background-color:  #3ca458;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row5_col2{\n",
       "            background-color:  #218242;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row5_col4{\n",
       "            background-color:  #1f8142;\n",
       "            color:  #f1f1f1;\n",
       "        }#T_2649e_row5_col5{\n",
       "            background-color:  #359c53;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row5_col6{\n",
       "            background-color:  #004d2c;\n",
       "            color:  #f1f1f1;\n",
       "        }#T_2649e_row5_col7{\n",
       "            background-color:  #005830;\n",
       "            color:  #f1f1f1;\n",
       "        }#T_2649e_row5_col8,#T_2649e_row10_col1,#T_2649e_row10_col3,#T_2649e_row12_col0,#T_2649e_row12_col2,#T_2649e_row12_col4,#T_2649e_row12_col5,#T_2649e_row12_col7,#T_2649e_row14_col6,#T_2649e_row14_col7,#T_2649e_row14_col9,#T_2649e_row14_col10,#T_2649e_row14_col11,#T_2649e_row14_col12{\n",
       "            background-color:  #004529;\n",
       "            color:  #f1f1f1;\n",
       "        }#T_2649e_row5_col9{\n",
       "            background-color:  #66bd70;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row5_col10{\n",
       "            background-color:  #12763d;\n",
       "            color:  #f1f1f1;\n",
       "        }#T_2649e_row5_col11,#T_2649e_row6_col7{\n",
       "            background-color:  #3fa85b;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row5_col12,#T_2649e_row14_col2{\n",
       "            background-color:  #006234;\n",
       "            color:  #f1f1f1;\n",
       "        }#T_2649e_row6_col6{\n",
       "            background-color:  #a1d889;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row6_col9,#T_2649e_row7_col10,#T_2649e_row7_col11,#T_2649e_row8_col9,#T_2649e_row9_col9,#T_2649e_row10_col11,#T_2649e_row11_col9,#T_2649e_row16_col9,#T_2649e_row17_col9,#T_2649e_row19_col9,#T_2649e_row20_col12,#T_2649e_row21_col9{\n",
       "            background-color:  #d2eda0;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row6_col10,#T_2649e_row9_col10,#T_2649e_row10_col10,#T_2649e_row11_col10,#T_2649e_row13_col12,#T_2649e_row16_col10,#T_2649e_row17_col10,#T_2649e_row18_col10,#T_2649e_row19_col10,#T_2649e_row20_col10,#T_2649e_row21_col10,#T_2649e_row24_col10{\n",
       "            background-color:  #e9f6af;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row7_col0,#T_2649e_row23_col5{\n",
       "            background-color:  #6bc072;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row7_col1,#T_2649e_row7_col4,#T_2649e_row21_col5{\n",
       "            background-color:  #8bce81;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row7_col2,#T_2649e_row23_col1{\n",
       "            background-color:  #88cd7f;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row7_col3,#T_2649e_row23_col10{\n",
       "            background-color:  #81ca7d;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row7_col5,#T_2649e_row15_col4{\n",
       "            background-color:  #64bc6f;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row8_col10{\n",
       "            background-color:  #f9fdc2;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row8_col11{\n",
       "            background-color:  #f1fab5;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row10_col0{\n",
       "            background-color:  #13773d;\n",
       "            color:  #f1f1f1;\n",
       "        }#T_2649e_row10_col2,#T_2649e_row14_col5{\n",
       "            background-color:  #1a7d40;\n",
       "            color:  #f1f1f1;\n",
       "        }#T_2649e_row10_col4{\n",
       "            background-color:  #238443;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row10_col5,#T_2649e_row23_col3,#T_2649e_row23_col11{\n",
       "            background-color:  #74c477;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row10_col6{\n",
       "            background-color:  #75c578;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row10_col9{\n",
       "            background-color:  #90d083;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row12_col1{\n",
       "            background-color:  #0a703a;\n",
       "            color:  #f1f1f1;\n",
       "        }#T_2649e_row12_col3{\n",
       "            background-color:  #086e3a;\n",
       "            color:  #f1f1f1;\n",
       "        }#T_2649e_row12_col6,#T_2649e_row20_col7{\n",
       "            background-color:  #005a31;\n",
       "            color:  #f1f1f1;\n",
       "        }#T_2649e_row12_col10{\n",
       "            background-color:  #53b466;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row12_col11,#T_2649e_row15_col5{\n",
       "            background-color:  #4cb063;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row12_col12{\n",
       "            background-color:  #389f55;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row13_col7,#T_2649e_row18_col1{\n",
       "            background-color:  #e5f5ac;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row13_col8,#T_2649e_row21_col1{\n",
       "            background-color:  #b8e293;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row13_col9,#T_2649e_row15_col11,#T_2649e_row22_col7{\n",
       "            background-color:  #daf0a4;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row13_col10{\n",
       "            background-color:  #ebf7b0;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row13_col11,#T_2649e_row18_col6,#T_2649e_row18_col9,#T_2649e_row18_col11{\n",
       "            background-color:  #edf8b2;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row14_col0{\n",
       "            background-color:  #15793e;\n",
       "            color:  #f1f1f1;\n",
       "        }#T_2649e_row14_col1{\n",
       "            background-color:  #006335;\n",
       "            color:  #f1f1f1;\n",
       "        }#T_2649e_row14_col3,#T_2649e_row14_col4{\n",
       "            background-color:  #006536;\n",
       "            color:  #f1f1f1;\n",
       "        }#T_2649e_row15_col0{\n",
       "            background-color:  #42ab5d;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row15_col1{\n",
       "            background-color:  #31974f;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row15_col2{\n",
       "            background-color:  #5cb86b;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row15_col3{\n",
       "            background-color:  #2e924c;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row15_col8{\n",
       "            background-color:  #93d284;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row15_col9{\n",
       "            background-color:  #a6da8b;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row16_col7{\n",
       "            background-color:  #2d914b;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row18_col0{\n",
       "            background-color:  #e8f6ae;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row18_col2{\n",
       "            background-color:  #ecf7b1;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row18_col4{\n",
       "            background-color:  #eef9b3;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row18_col5{\n",
       "            background-color:  #eaf7af;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row19_col3{\n",
       "            background-color:  #aedd8e;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row20_col1{\n",
       "            background-color:  #6dc073;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row20_col2{\n",
       "            background-color:  #4fb264;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row20_col3{\n",
       "            background-color:  #70c275;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row20_col4{\n",
       "            background-color:  #51b365;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row20_col5{\n",
       "            background-color:  #3ba358;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row20_col6{\n",
       "            background-color:  #2c8f4b;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row20_col9{\n",
       "            background-color:  #ccea9d;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row22_col6{\n",
       "            background-color:  #ddf2a6;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row22_col12{\n",
       "            background-color:  #d6efa2;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row23_col2{\n",
       "            background-color:  #a7db8c;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row23_col8{\n",
       "            background-color:  #9cd687;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row23_col9{\n",
       "            background-color:  #5fba6c;\n",
       "            color:  #000000;\n",
       "        }#T_2649e_row23_col12{\n",
       "            background-color:  #abdc8d;\n",
       "            color:  #000000;\n",
       "        }</style><table id=\"T_2649e_\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >MV</th>        <th class=\"col_heading level0 col1\" >MAD</th>        <th class=\"col_heading level0 col2\" >MSV</th>        <th class=\"col_heading level0 col3\" >FLPM</th>        <th class=\"col_heading level0 col4\" >SLPM</th>        <th class=\"col_heading level0 col5\" >CVaR</th>        <th class=\"col_heading level0 col6\" >EVaR</th>        <th class=\"col_heading level0 col7\" >WR</th>        <th class=\"col_heading level0 col8\" >MDD</th>        <th class=\"col_heading level0 col9\" >ADD</th>        <th class=\"col_heading level0 col10\" >CDaR</th>        <th class=\"col_heading level0 col11\" >UCI</th>        <th class=\"col_heading level0 col12\" >EDaR</th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_2649e_level0_row0\" class=\"row_heading level0 row0\" >APA</th>\n",
       "                        <td id=\"T_2649e_row0_col0\" class=\"data row0 col0\" >-8.84%</td>\n",
       "                        <td id=\"T_2649e_row0_col1\" class=\"data row0 col1\" >-8.38%</td>\n",
       "                        <td id=\"T_2649e_row0_col2\" class=\"data row0 col2\" >-8.69%</td>\n",
       "                        <td id=\"T_2649e_row0_col3\" class=\"data row0 col3\" >-7.06%</td>\n",
       "                        <td id=\"T_2649e_row0_col4\" class=\"data row0 col4\" >-8.88%</td>\n",
       "                        <td id=\"T_2649e_row0_col5\" class=\"data row0 col5\" >-7.89%</td>\n",
       "                        <td id=\"T_2649e_row0_col6\" class=\"data row0 col6\" >-17.38%</td>\n",
       "                        <td id=\"T_2649e_row0_col7\" class=\"data row0 col7\" >-17.43%</td>\n",
       "                        <td id=\"T_2649e_row0_col8\" class=\"data row0 col8\" >-23.06%</td>\n",
       "                        <td id=\"T_2649e_row0_col9\" class=\"data row0 col9\" >-2.14%</td>\n",
       "                        <td id=\"T_2649e_row0_col10\" class=\"data row0 col10\" >-11.34%</td>\n",
       "                        <td id=\"T_2649e_row0_col11\" class=\"data row0 col11\" >-7.13%</td>\n",
       "                        <td id=\"T_2649e_row0_col12\" class=\"data row0 col12\" >-18.61%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_2649e_level0_row1\" class=\"row_heading level0 row1\" >BA</th>\n",
       "                        <td id=\"T_2649e_row1_col0\" class=\"data row1 col0\" >11.61%</td>\n",
       "                        <td id=\"T_2649e_row1_col1\" class=\"data row1 col1\" >12.64%</td>\n",
       "                        <td id=\"T_2649e_row1_col2\" class=\"data row1 col2\" >11.32%</td>\n",
       "                        <td id=\"T_2649e_row1_col3\" class=\"data row1 col3\" >13.43%</td>\n",
       "                        <td id=\"T_2649e_row1_col4\" class=\"data row1 col4\" >11.29%</td>\n",
       "                        <td id=\"T_2649e_row1_col5\" class=\"data row1 col5\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row1_col6\" class=\"data row1 col6\" >5.84%</td>\n",
       "                        <td id=\"T_2649e_row1_col7\" class=\"data row1 col7\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row1_col8\" class=\"data row1 col8\" >15.81%</td>\n",
       "                        <td id=\"T_2649e_row1_col9\" class=\"data row1 col9\" >10.77%</td>\n",
       "                        <td id=\"T_2649e_row1_col10\" class=\"data row1 col10\" >11.12%</td>\n",
       "                        <td id=\"T_2649e_row1_col11\" class=\"data row1 col11\" >10.07%</td>\n",
       "                        <td id=\"T_2649e_row1_col12\" class=\"data row1 col12\" >9.28%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_2649e_level0_row2\" class=\"row_heading level0 row2\" >BAX</th>\n",
       "                        <td id=\"T_2649e_row2_col0\" class=\"data row2 col0\" >16.59%</td>\n",
       "                        <td id=\"T_2649e_row2_col1\" class=\"data row2 col1\" >13.27%</td>\n",
       "                        <td id=\"T_2649e_row2_col2\" class=\"data row2 col2\" >14.44%</td>\n",
       "                        <td id=\"T_2649e_row2_col3\" class=\"data row2 col3\" >13.88%</td>\n",
       "                        <td id=\"T_2649e_row2_col4\" class=\"data row2 col4\" >14.52%</td>\n",
       "                        <td id=\"T_2649e_row2_col5\" class=\"data row2 col5\" >19.39%</td>\n",
       "                        <td id=\"T_2649e_row2_col6\" class=\"data row2 col6\" >9.27%</td>\n",
       "                        <td id=\"T_2649e_row2_col7\" class=\"data row2 col7\" >6.89%</td>\n",
       "                        <td id=\"T_2649e_row2_col8\" class=\"data row2 col8\" >38.26%</td>\n",
       "                        <td id=\"T_2649e_row2_col9\" class=\"data row2 col9\" >18.22%</td>\n",
       "                        <td id=\"T_2649e_row2_col10\" class=\"data row2 col10\" >11.48%</td>\n",
       "                        <td id=\"T_2649e_row2_col11\" class=\"data row2 col11\" >16.90%</td>\n",
       "                        <td id=\"T_2649e_row2_col12\" class=\"data row2 col12\" >12.49%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_2649e_level0_row3\" class=\"row_heading level0 row3\" >BMY</th>\n",
       "                        <td id=\"T_2649e_row3_col0\" class=\"data row3 col0\" >-0.00%</td>\n",
       "                        <td id=\"T_2649e_row3_col1\" class=\"data row3 col1\" >-0.00%</td>\n",
       "                        <td id=\"T_2649e_row3_col2\" class=\"data row3 col2\" >-0.00%</td>\n",
       "                        <td id=\"T_2649e_row3_col3\" class=\"data row3 col3\" >-0.00%</td>\n",
       "                        <td id=\"T_2649e_row3_col4\" class=\"data row3 col4\" >-0.00%</td>\n",
       "                        <td id=\"T_2649e_row3_col5\" class=\"data row3 col5\" >-0.00%</td>\n",
       "                        <td id=\"T_2649e_row3_col6\" class=\"data row3 col6\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row3_col7\" class=\"data row3 col7\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row3_col8\" class=\"data row3 col8\" >-0.00%</td>\n",
       "                        <td id=\"T_2649e_row3_col9\" class=\"data row3 col9\" >-1.60%</td>\n",
       "                        <td id=\"T_2649e_row3_col10\" class=\"data row3 col10\" >-3.89%</td>\n",
       "                        <td id=\"T_2649e_row3_col11\" class=\"data row3 col11\" >-3.86%</td>\n",
       "                        <td id=\"T_2649e_row3_col12\" class=\"data row3 col12\" >-4.75%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_2649e_level0_row4\" class=\"row_heading level0 row4\" >CMCSA</th>\n",
       "                        <td id=\"T_2649e_row4_col0\" class=\"data row4 col0\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row4_col1\" class=\"data row4 col1\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row4_col2\" class=\"data row4 col2\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row4_col3\" class=\"data row4 col3\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row4_col4\" class=\"data row4 col4\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row4_col5\" class=\"data row4 col5\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row4_col6\" class=\"data row4 col6\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row4_col7\" class=\"data row4 col7\" >-0.00%</td>\n",
       "                        <td id=\"T_2649e_row4_col8\" class=\"data row4 col8\" >-6.51%</td>\n",
       "                        <td id=\"T_2649e_row4_col9\" class=\"data row4 col9\" >-1.77%</td>\n",
       "                        <td id=\"T_2649e_row4_col10\" class=\"data row4 col10\" >-5.05%</td>\n",
       "                        <td id=\"T_2649e_row4_col11\" class=\"data row4 col11\" >-0.00%</td>\n",
       "                        <td id=\"T_2649e_row4_col12\" class=\"data row4 col12\" >0.02%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_2649e_level0_row5\" class=\"row_heading level0 row5\" >CNP</th>\n",
       "                        <td id=\"T_2649e_row5_col0\" class=\"data row5 col0\" >16.47%</td>\n",
       "                        <td id=\"T_2649e_row5_col1\" class=\"data row5 col1\" >14.75%</td>\n",
       "                        <td id=\"T_2649e_row5_col2\" class=\"data row5 col2\" >20.25%</td>\n",
       "                        <td id=\"T_2649e_row5_col3\" class=\"data row5 col3\" >13.34%</td>\n",
       "                        <td id=\"T_2649e_row5_col4\" class=\"data row5 col4\" >21.15%</td>\n",
       "                        <td id=\"T_2649e_row5_col5\" class=\"data row5 col5\" >17.32%</td>\n",
       "                        <td id=\"T_2649e_row5_col6\" class=\"data row5 col6\" >36.05%</td>\n",
       "                        <td id=\"T_2649e_row5_col7\" class=\"data row5 col7\" >28.74%</td>\n",
       "                        <td id=\"T_2649e_row5_col8\" class=\"data row5 col8\" >42.04%</td>\n",
       "                        <td id=\"T_2649e_row5_col9\" class=\"data row5 col9\" >16.14%</td>\n",
       "                        <td id=\"T_2649e_row5_col10\" class=\"data row5 col10\" >37.88%</td>\n",
       "                        <td id=\"T_2649e_row5_col11\" class=\"data row5 col11\" >27.15%</td>\n",
       "                        <td id=\"T_2649e_row5_col12\" class=\"data row5 col12\" >43.72%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_2649e_level0_row6\" class=\"row_heading level0 row6\" >CPB</th>\n",
       "                        <td id=\"T_2649e_row6_col0\" class=\"data row6 col0\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row6_col1\" class=\"data row6 col1\" >-0.00%</td>\n",
       "                        <td id=\"T_2649e_row6_col2\" class=\"data row6 col2\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row6_col3\" class=\"data row6 col3\" >-0.00%</td>\n",
       "                        <td id=\"T_2649e_row6_col4\" class=\"data row6 col4\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row6_col5\" class=\"data row6 col5\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row6_col6\" class=\"data row6 col6\" >4.96%</td>\n",
       "                        <td id=\"T_2649e_row6_col7\" class=\"data row6 col7\" >14.04%</td>\n",
       "                        <td id=\"T_2649e_row6_col8\" class=\"data row6 col8\" >-0.00%</td>\n",
       "                        <td id=\"T_2649e_row6_col9\" class=\"data row6 col9\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row6_col10\" class=\"data row6 col10\" >-0.00%</td>\n",
       "                        <td id=\"T_2649e_row6_col11\" class=\"data row6 col11\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row6_col12\" class=\"data row6 col12\" >0.06%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_2649e_level0_row7\" class=\"row_heading level0 row7\" >DE</th>\n",
       "                        <td id=\"T_2649e_row7_col0\" class=\"data row7 col0\" >9.41%</td>\n",
       "                        <td id=\"T_2649e_row7_col1\" class=\"data row7 col1\" >5.72%</td>\n",
       "                        <td id=\"T_2649e_row7_col2\" class=\"data row7 col2\" >6.81%</td>\n",
       "                        <td id=\"T_2649e_row7_col3\" class=\"data row7 col3\" >6.25%</td>\n",
       "                        <td id=\"T_2649e_row7_col4\" class=\"data row7 col4\" >6.86%</td>\n",
       "                        <td id=\"T_2649e_row7_col5\" class=\"data row7 col5\" >11.15%</td>\n",
       "                        <td id=\"T_2649e_row7_col6\" class=\"data row7 col6\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row7_col7\" class=\"data row7 col7\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row7_col8\" class=\"data row7 col8\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row7_col9\" class=\"data row7 col9\" >5.73%</td>\n",
       "                        <td id=\"T_2649e_row7_col10\" class=\"data row7 col10\" >5.06%</td>\n",
       "                        <td id=\"T_2649e_row7_col11\" class=\"data row7 col11\" >4.47%</td>\n",
       "                        <td id=\"T_2649e_row7_col12\" class=\"data row7 col12\" >4.52%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_2649e_level0_row8\" class=\"row_heading level0 row8\" >HPQ</th>\n",
       "                        <td id=\"T_2649e_row8_col0\" class=\"data row8 col0\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row8_col1\" class=\"data row8 col1\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row8_col2\" class=\"data row8 col2\" >-0.00%</td>\n",
       "                        <td id=\"T_2649e_row8_col3\" class=\"data row8 col3\" >-0.00%</td>\n",
       "                        <td id=\"T_2649e_row8_col4\" class=\"data row8 col4\" >-0.00%</td>\n",
       "                        <td id=\"T_2649e_row8_col5\" class=\"data row8 col5\" >-0.00%</td>\n",
       "                        <td id=\"T_2649e_row8_col6\" class=\"data row8 col6\" >-0.00%</td>\n",
       "                        <td id=\"T_2649e_row8_col7\" class=\"data row8 col7\" >-0.00%</td>\n",
       "                        <td id=\"T_2649e_row8_col8\" class=\"data row8 col8\" >-0.00%</td>\n",
       "                        <td id=\"T_2649e_row8_col9\" class=\"data row8 col9\" >-0.16%</td>\n",
       "                        <td id=\"T_2649e_row8_col10\" class=\"data row8 col10\" >-5.27%</td>\n",
       "                        <td id=\"T_2649e_row8_col11\" class=\"data row8 col11\" >-2.86%</td>\n",
       "                        <td id=\"T_2649e_row8_col12\" class=\"data row8 col12\" >-0.04%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_2649e_level0_row9\" class=\"row_heading level0 row9\" >JCI</th>\n",
       "                        <td id=\"T_2649e_row9_col0\" class=\"data row9 col0\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row9_col1\" class=\"data row9 col1\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row9_col2\" class=\"data row9 col2\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row9_col3\" class=\"data row9 col3\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row9_col4\" class=\"data row9 col4\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row9_col5\" class=\"data row9 col5\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row9_col6\" class=\"data row9 col6\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row9_col7\" class=\"data row9 col7\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row9_col8\" class=\"data row9 col8\" >-0.00%</td>\n",
       "                        <td id=\"T_2649e_row9_col9\" class=\"data row9 col9\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row9_col10\" class=\"data row9 col10\" >-0.00%</td>\n",
       "                        <td id=\"T_2649e_row9_col11\" class=\"data row9 col11\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row9_col12\" class=\"data row9 col12\" >0.03%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_2649e_level0_row10\" class=\"row_heading level0 row10\" >JPM</th>\n",
       "                        <td id=\"T_2649e_row10_col0\" class=\"data row10 col0\" >22.20%</td>\n",
       "                        <td id=\"T_2649e_row10_col1\" class=\"data row10 col1\" >31.27%</td>\n",
       "                        <td id=\"T_2649e_row10_col2\" class=\"data row10 col2\" >21.33%</td>\n",
       "                        <td id=\"T_2649e_row10_col3\" class=\"data row10 col3\" >30.58%</td>\n",
       "                        <td id=\"T_2649e_row10_col4\" class=\"data row10 col4\" >20.34%</td>\n",
       "                        <td id=\"T_2649e_row10_col5\" class=\"data row10 col5\" >9.40%</td>\n",
       "                        <td id=\"T_2649e_row10_col6\" class=\"data row10 col6\" >10.51%</td>\n",
       "                        <td id=\"T_2649e_row10_col7\" class=\"data row10 col7\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row10_col8\" class=\"data row10 col8\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row10_col9\" class=\"data row10 col9\" >10.26%</td>\n",
       "                        <td id=\"T_2649e_row10_col10\" class=\"data row10 col10\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row10_col11\" class=\"data row10 col11\" >4.47%</td>\n",
       "                        <td id=\"T_2649e_row10_col12\" class=\"data row10 col12\" >-0.03%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_2649e_level0_row11\" class=\"row_heading level0 row11\" >LUV</th>\n",
       "                        <td id=\"T_2649e_row11_col0\" class=\"data row11 col0\" >-0.00%</td>\n",
       "                        <td id=\"T_2649e_row11_col1\" class=\"data row11 col1\" >-0.00%</td>\n",
       "                        <td id=\"T_2649e_row11_col2\" class=\"data row11 col2\" >-0.00%</td>\n",
       "                        <td id=\"T_2649e_row11_col3\" class=\"data row11 col3\" >-0.00%</td>\n",
       "                        <td id=\"T_2649e_row11_col4\" class=\"data row11 col4\" >-0.00%</td>\n",
       "                        <td id=\"T_2649e_row11_col5\" class=\"data row11 col5\" >-0.00%</td>\n",
       "                        <td id=\"T_2649e_row11_col6\" class=\"data row11 col6\" >-0.00%</td>\n",
       "                        <td id=\"T_2649e_row11_col7\" class=\"data row11 col7\" >-0.00%</td>\n",
       "                        <td id=\"T_2649e_row11_col8\" class=\"data row11 col8\" >-0.00%</td>\n",
       "                        <td id=\"T_2649e_row11_col9\" class=\"data row11 col9\" >-0.00%</td>\n",
       "                        <td id=\"T_2649e_row11_col10\" class=\"data row11 col10\" >-0.00%</td>\n",
       "                        <td id=\"T_2649e_row11_col11\" class=\"data row11 col11\" >-0.00%</td>\n",
       "                        <td id=\"T_2649e_row11_col12\" class=\"data row11 col12\" >0.03%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_2649e_level0_row12\" class=\"row_heading level0 row12\" >MMC</th>\n",
       "                        <td id=\"T_2649e_row12_col0\" class=\"data row12 col0\" >31.01%</td>\n",
       "                        <td id=\"T_2649e_row12_col1\" class=\"data row12 col1\" >23.68%</td>\n",
       "                        <td id=\"T_2649e_row12_col2\" class=\"data row12 col2\" >31.60%</td>\n",
       "                        <td id=\"T_2649e_row12_col3\" class=\"data row12 col3\" >23.35%</td>\n",
       "                        <td id=\"T_2649e_row12_col4\" class=\"data row12 col4\" >32.13%</td>\n",
       "                        <td id=\"T_2649e_row12_col5\" class=\"data row12 col5\" >33.20%</td>\n",
       "                        <td id=\"T_2649e_row12_col6\" class=\"data row12 col6\" >33.67%</td>\n",
       "                        <td id=\"T_2649e_row12_col7\" class=\"data row12 col7\" >32.15%</td>\n",
       "                        <td id=\"T_2649e_row12_col8\" class=\"data row12 col8\" >38.27%</td>\n",
       "                        <td id=\"T_2649e_row12_col9\" class=\"data row12 col9\" >24.88%</td>\n",
       "                        <td id=\"T_2649e_row12_col10\" class=\"data row12 col10\" >24.00%</td>\n",
       "                        <td id=\"T_2649e_row12_col11\" class=\"data row12 col11\" >24.99%</td>\n",
       "                        <td id=\"T_2649e_row12_col12\" class=\"data row12 col12\" >27.53%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_2649e_level0_row13\" class=\"row_heading level0 row13\" >MO</th>\n",
       "                        <td id=\"T_2649e_row13_col0\" class=\"data row13 col0\" >-0.00%</td>\n",
       "                        <td id=\"T_2649e_row13_col1\" class=\"data row13 col1\" >-0.00%</td>\n",
       "                        <td id=\"T_2649e_row13_col2\" class=\"data row13 col2\" >-0.00%</td>\n",
       "                        <td id=\"T_2649e_row13_col3\" class=\"data row13 col3\" >-0.00%</td>\n",
       "                        <td id=\"T_2649e_row13_col4\" class=\"data row13 col4\" >-0.00%</td>\n",
       "                        <td id=\"T_2649e_row13_col5\" class=\"data row13 col5\" >-0.00%</td>\n",
       "                        <td id=\"T_2649e_row13_col6\" class=\"data row13 col6\" >-0.00%</td>\n",
       "                        <td id=\"T_2649e_row13_col7\" class=\"data row13 col7\" >-7.41%</td>\n",
       "                        <td id=\"T_2649e_row13_col8\" class=\"data row13 col8\" >-0.44%</td>\n",
       "                        <td id=\"T_2649e_row13_col9\" class=\"data row13 col9\" >-1.52%</td>\n",
       "                        <td id=\"T_2649e_row13_col10\" class=\"data row13 col10\" >-0.54%</td>\n",
       "                        <td id=\"T_2649e_row13_col11\" class=\"data row13 col11\" >-2.04%</td>\n",
       "                        <td id=\"T_2649e_row13_col12\" class=\"data row13 col12\" >-5.78%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_2649e_level0_row14\" class=\"row_heading level0 row14\" >MSFT</th>\n",
       "                        <td id=\"T_2649e_row14_col0\" class=\"data row14 col0\" >21.82%</td>\n",
       "                        <td id=\"T_2649e_row14_col1\" class=\"data row14 col1\" >26.23%</td>\n",
       "                        <td id=\"T_2649e_row14_col2\" class=\"data row14 col2\" >26.73%</td>\n",
       "                        <td id=\"T_2649e_row14_col3\" class=\"data row14 col3\" >25.26%</td>\n",
       "                        <td id=\"T_2649e_row14_col4\" class=\"data row14 col4\" >26.78%</td>\n",
       "                        <td id=\"T_2649e_row14_col5\" class=\"data row14 col5\" >22.42%</td>\n",
       "                        <td id=\"T_2649e_row14_col6\" class=\"data row14 col6\" >37.77%</td>\n",
       "                        <td id=\"T_2649e_row14_col7\" class=\"data row14 col7\" >32.08%</td>\n",
       "                        <td id=\"T_2649e_row14_col8\" class=\"data row14 col8\" >16.29%</td>\n",
       "                        <td id=\"T_2649e_row14_col9\" class=\"data row14 col9\" >43.62%</td>\n",
       "                        <td id=\"T_2649e_row14_col10\" class=\"data row14 col10\" >49.28%</td>\n",
       "                        <td id=\"T_2649e_row14_col11\" class=\"data row14 col11\" >49.69%</td>\n",
       "                        <td id=\"T_2649e_row14_col12\" class=\"data row14 col12\" >50.98%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_2649e_level0_row15\" class=\"row_heading level0 row15\" >NI</th>\n",
       "                        <td id=\"T_2649e_row15_col0\" class=\"data row15 col0\" >13.76%</td>\n",
       "                        <td id=\"T_2649e_row15_col1\" class=\"data row15 col1\" >16.64%</td>\n",
       "                        <td id=\"T_2649e_row15_col2\" class=\"data row15 col2\" >11.43%</td>\n",
       "                        <td id=\"T_2649e_row15_col3\" class=\"data row15 col3\" >16.76%</td>\n",
       "                        <td id=\"T_2649e_row15_col4\" class=\"data row15 col4\" >11.03%</td>\n",
       "                        <td id=\"T_2649e_row15_col5\" class=\"data row15 col5\" >13.77%</td>\n",
       "                        <td id=\"T_2649e_row15_col6\" class=\"data row15 col6\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row15_col7\" class=\"data row15 col7\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row15_col8\" class=\"data row15 col8\" >5.42%</td>\n",
       "                        <td id=\"T_2649e_row15_col9\" class=\"data row15 col9\" >7.11%</td>\n",
       "                        <td id=\"T_2649e_row15_col10\" class=\"data row15 col10\" >3.55%</td>\n",
       "                        <td id=\"T_2649e_row15_col11\" class=\"data row15 col11\" >3.05%</td>\n",
       "                        <td id=\"T_2649e_row15_col12\" class=\"data row15 col12\" >3.20%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_2649e_level0_row16\" class=\"row_heading level0 row16\" >PCAR</th>\n",
       "                        <td id=\"T_2649e_row16_col0\" class=\"data row16 col0\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row16_col1\" class=\"data row16 col1\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row16_col2\" class=\"data row16 col2\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row16_col3\" class=\"data row16 col3\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row16_col4\" class=\"data row16 col4\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row16_col5\" class=\"data row16 col5\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row16_col6\" class=\"data row16 col6\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row16_col7\" class=\"data row16 col7\" >17.67%</td>\n",
       "                        <td id=\"T_2649e_row16_col8\" class=\"data row16 col8\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row16_col9\" class=\"data row16 col9\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row16_col10\" class=\"data row16 col10\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row16_col11\" class=\"data row16 col11\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row16_col12\" class=\"data row16 col12\" >-0.00%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_2649e_level0_row17\" class=\"row_heading level0 row17\" >PSA</th>\n",
       "                        <td id=\"T_2649e_row17_col0\" class=\"data row17 col0\" >-0.00%</td>\n",
       "                        <td id=\"T_2649e_row17_col1\" class=\"data row17 col1\" >-0.00%</td>\n",
       "                        <td id=\"T_2649e_row17_col2\" class=\"data row17 col2\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row17_col3\" class=\"data row17 col3\" >-0.00%</td>\n",
       "                        <td id=\"T_2649e_row17_col4\" class=\"data row17 col4\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row17_col5\" class=\"data row17 col5\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row17_col6\" class=\"data row17 col6\" >-0.00%</td>\n",
       "                        <td id=\"T_2649e_row17_col7\" class=\"data row17 col7\" >-0.00%</td>\n",
       "                        <td id=\"T_2649e_row17_col8\" class=\"data row17 col8\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row17_col9\" class=\"data row17 col9\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row17_col10\" class=\"data row17 col10\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row17_col11\" class=\"data row17 col11\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row17_col12\" class=\"data row17 col12\" >-0.11%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_2649e_level0_row18\" class=\"row_heading level0 row18\" >SEE</th>\n",
       "                        <td id=\"T_2649e_row18_col0\" class=\"data row18 col0\" >-6.26%</td>\n",
       "                        <td id=\"T_2649e_row18_col1\" class=\"data row18 col1\" >-6.06%</td>\n",
       "                        <td id=\"T_2649e_row18_col2\" class=\"data row18 col2\" >-6.61%</td>\n",
       "                        <td id=\"T_2649e_row18_col3\" class=\"data row18 col3\" >-6.93%</td>\n",
       "                        <td id=\"T_2649e_row18_col4\" class=\"data row18 col4\" >-6.78%</td>\n",
       "                        <td id=\"T_2649e_row18_col5\" class=\"data row18 col5\" >-6.66%</td>\n",
       "                        <td id=\"T_2649e_row18_col6\" class=\"data row18 col6\" >-8.12%</td>\n",
       "                        <td id=\"T_2649e_row18_col7\" class=\"data row18 col7\" >-0.00%</td>\n",
       "                        <td id=\"T_2649e_row18_col8\" class=\"data row18 col8\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row18_col9\" class=\"data row18 col9\" >-6.48%</td>\n",
       "                        <td id=\"T_2649e_row18_col10\" class=\"data row18 col10\" >-0.00%</td>\n",
       "                        <td id=\"T_2649e_row18_col11\" class=\"data row18 col11\" >-1.86%</td>\n",
       "                        <td id=\"T_2649e_row18_col12\" class=\"data row18 col12\" >-0.07%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_2649e_level0_row19\" class=\"row_heading level0 row19\" >T</th>\n",
       "                        <td id=\"T_2649e_row19_col0\" class=\"data row19 col0\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row19_col1\" class=\"data row19 col1\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row19_col2\" class=\"data row19 col2\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row19_col3\" class=\"data row19 col3\" >1.36%</td>\n",
       "                        <td id=\"T_2649e_row19_col4\" class=\"data row19 col4\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row19_col5\" class=\"data row19 col5\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row19_col6\" class=\"data row19 col6\" >-0.00%</td>\n",
       "                        <td id=\"T_2649e_row19_col7\" class=\"data row19 col7\" >-0.00%</td>\n",
       "                        <td id=\"T_2649e_row19_col8\" class=\"data row19 col8\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row19_col9\" class=\"data row19 col9\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row19_col10\" class=\"data row19 col10\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row19_col11\" class=\"data row19 col11\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row19_col12\" class=\"data row19 col12\" >-0.02%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_2649e_level0_row20\" class=\"row_heading level0 row20\" >TGT</th>\n",
       "                        <td id=\"T_2649e_row20_col0\" class=\"data row20 col0\" >10.47%</td>\n",
       "                        <td id=\"T_2649e_row20_col1\" class=\"data row20 col1\" >9.05%</td>\n",
       "                        <td id=\"T_2649e_row20_col2\" class=\"data row20 col2\" >12.78%</td>\n",
       "                        <td id=\"T_2649e_row20_col3\" class=\"data row20 col3\" >8.11%</td>\n",
       "                        <td id=\"T_2649e_row20_col4\" class=\"data row20 col4\" >13.06%</td>\n",
       "                        <td id=\"T_2649e_row20_col5\" class=\"data row20 col5\" >16.22%</td>\n",
       "                        <td id=\"T_2649e_row20_col6\" class=\"data row20 col6\" >21.94%</td>\n",
       "                        <td id=\"T_2649e_row20_col7\" class=\"data row20 col7\" >28.42%</td>\n",
       "                        <td id=\"T_2649e_row20_col8\" class=\"data row20 col8\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row20_col9\" class=\"data row20 col9\" >0.78%</td>\n",
       "                        <td id=\"T_2649e_row20_col10\" class=\"data row20 col10\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row20_col11\" class=\"data row20 col11\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row20_col12\" class=\"data row20 col12\" >0.28%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_2649e_level0_row21\" class=\"row_heading level0 row21\" >TMO</th>\n",
       "                        <td id=\"T_2649e_row21_col0\" class=\"data row21 col0\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row21_col1\" class=\"data row21 col1\" >0.68%</td>\n",
       "                        <td id=\"T_2649e_row21_col2\" class=\"data row21 col2\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row21_col3\" class=\"data row21 col3\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row21_col4\" class=\"data row21 col4\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row21_col5\" class=\"data row21 col5\" >6.78%</td>\n",
       "                        <td id=\"T_2649e_row21_col6\" class=\"data row21 col6\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row21_col7\" class=\"data row21 col7\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row21_col8\" class=\"data row21 col8\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row21_col9\" class=\"data row21 col9\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row21_col10\" class=\"data row21 col10\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row21_col11\" class=\"data row21 col11\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row21_col12\" class=\"data row21 col12\" >0.00%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_2649e_level0_row22\" class=\"row_heading level0 row22\" >TXT</th>\n",
       "                        <td id=\"T_2649e_row22_col0\" class=\"data row22 col0\" >-14.90%</td>\n",
       "                        <td id=\"T_2649e_row22_col1\" class=\"data row22 col1\" >-15.55%</td>\n",
       "                        <td id=\"T_2649e_row22_col2\" class=\"data row22 col2\" >-14.70%</td>\n",
       "                        <td id=\"T_2649e_row22_col3\" class=\"data row22 col3\" >-16.01%</td>\n",
       "                        <td id=\"T_2649e_row22_col4\" class=\"data row22 col4\" >-14.34%</td>\n",
       "                        <td id=\"T_2649e_row22_col5\" class=\"data row22 col5\" >-15.45%</td>\n",
       "                        <td id=\"T_2649e_row22_col6\" class=\"data row22 col6\" >-4.50%</td>\n",
       "                        <td id=\"T_2649e_row22_col7\" class=\"data row22 col7\" >-5.16%</td>\n",
       "                        <td id=\"T_2649e_row22_col8\" class=\"data row22 col8\" >-0.00%</td>\n",
       "                        <td id=\"T_2649e_row22_col9\" class=\"data row22 col9\" >-16.33%</td>\n",
       "                        <td id=\"T_2649e_row22_col10\" class=\"data row22 col10\" >-3.91%</td>\n",
       "                        <td id=\"T_2649e_row22_col11\" class=\"data row22 col11\" >-12.25%</td>\n",
       "                        <td id=\"T_2649e_row22_col12\" class=\"data row22 col12\" >-0.57%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_2649e_level0_row23\" class=\"row_heading level0 row23\" >VZ</th>\n",
       "                        <td id=\"T_2649e_row23_col0\" class=\"data row23 col0\" >6.68%</td>\n",
       "                        <td id=\"T_2649e_row23_col1\" class=\"data row23 col1\" >6.08%</td>\n",
       "                        <td id=\"T_2649e_row23_col2\" class=\"data row23 col2\" >3.30%</td>\n",
       "                        <td id=\"T_2649e_row23_col3\" class=\"data row23 col3\" >7.68%</td>\n",
       "                        <td id=\"T_2649e_row23_col4\" class=\"data row23 col4\" >2.84%</td>\n",
       "                        <td id=\"T_2649e_row23_col5\" class=\"data row23 col5\" >10.35%</td>\n",
       "                        <td id=\"T_2649e_row23_col6\" class=\"data row23 col6\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row23_col7\" class=\"data row23 col7\" >-0.00%</td>\n",
       "                        <td id=\"T_2649e_row23_col8\" class=\"data row23 col8\" >3.91%</td>\n",
       "                        <td id=\"T_2649e_row23_col9\" class=\"data row23 col9\" >17.08%</td>\n",
       "                        <td id=\"T_2649e_row23_col10\" class=\"data row23 col10\" >17.64%</td>\n",
       "                        <td id=\"T_2649e_row23_col11\" class=\"data row23 col11\" >19.21%</td>\n",
       "                        <td id=\"T_2649e_row23_col12\" class=\"data row23 col12\" >7.84%</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_2649e_level0_row24\" class=\"row_heading level0 row24\" >ZION</th>\n",
       "                        <td id=\"T_2649e_row24_col0\" class=\"data row24 col0\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row24_col1\" class=\"data row24 col1\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row24_col2\" class=\"data row24 col2\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row24_col3\" class=\"data row24 col3\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row24_col4\" class=\"data row24 col4\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row24_col5\" class=\"data row24 col5\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row24_col6\" class=\"data row24 col6\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row24_col7\" class=\"data row24 col7\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row24_col8\" class=\"data row24 col8\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row24_col9\" class=\"data row24 col9\" >5.41%</td>\n",
       "                        <td id=\"T_2649e_row24_col10\" class=\"data row24 col10\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row24_col11\" class=\"data row24 col11\" >0.00%</td>\n",
       "                        <td id=\"T_2649e_row24_col12\" class=\"data row24 col12\" >-0.01%</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7fdf162b5250>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "w_s.style.format(\"{:.2%}\").background_gradient(cmap='YlGn')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Plotting a comparison of assets weights for each portfolio\n",
    "\n",
    "fig = plt.gcf()\n",
    "fig.set_figwidth(14)\n",
    "fig.set_figheight(6)\n",
    "ax = fig.subplots(nrows=1, ncols=1)\n",
    "\n",
    "w_s.plot.bar(ax=ax)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
